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PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

QuantGPT

作者:quantgptco版本 1.0.1i★ 2i在云端运行
注册名称co.quantgpt/mcp

安装方法

概览

作者提供的说明(英文原文)

The data and trading platform for AI: decades of US market data, backtests in seconds.

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在云端运行
  • 传输方式: Streamable HTTP
  • 分类: 会计、财务与税务
  • 你需要填写:X-API-Key

安装

选择你使用的 AI 应用,然后复制设置。

通过 5/5 项检查 · 你的提问会经过开发者的服务器(terminal.quantgpt.co)

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 5 分钟

需要 QuantGPT 的密钥(在开发者网站注册,可能收费) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个

  1. 注册并创建 QuantGPT 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 QuantGPT 网站 ↗

  2. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1+ Add2https://…3Add4
  3. 点击“+ Add” → “Add custom connector”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称QuantGPT
    Remote MCP server URL · 地址https://terminal.quantgpt.co/mcp

    在 Request headers 下添加这个名称和值

    Header 名称X-API-Key
    值<在这里粘贴你的密钥>

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

    Authentication 保持 Claude 检测到的设置,然后点击 Add

  4. 在聊天中开启

    +ConnectorsQuantGPT

  5. 试一试

    用 QuantGPT 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 QuantGPT,或回答中出现 QuantGPT 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

ChatGPT 暂时无法连接 QuantGPT

QuantGPT 连接时需要你自己的密钥,但 OpenAI 帮助页面只说明了 OAuth 登录,没有我们能核实的填密钥方式

你可以改用这些方式

A · 使用能连接 QuantGPT 的应用

  • 需要 QuantGPT 的密钥(在开发者网站注册,可能收费) · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个
  • 需要 QuantGPT 的密钥(在开发者网站注册,可能收费)
  • 需要 QuantGPT 的密钥(在开发者网站注册,可能收费)
  • 需要 QuantGPT 的密钥(在开发者网站注册,可能收费)

B · 会计、财务与税务 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code · 约 5 分钟

需要 QuantGPT 的密钥(在开发者网站注册,可能收费)

  1. 注册并创建 QuantGPT 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 QuantGPT 网站 ↗

  2. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  3. 粘贴这条命令并按 Enter

    claude mcp add --transport http quantgpt https://terminal.quantgpt.co/mcp --header 'X-API-Key: your-value'

    按 Enter 前,把“your-value”改成你的密钥

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 Claude Code 中输入 /mcp

    应能看到 QuantGPT 在列表中并显示已连接

  5. 试一试

    用 QuantGPT 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 QuantGPT,或回答中出现 QuantGPT 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 5 分钟

需要 QuantGPT 的密钥(在开发者网站注册,可能收费)

  1. 注册并创建 QuantGPT 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 QuantGPT 网站 ↗

  2. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  3. 填写你的密钥

    在 QuantGPT 的设置中,X-API-Key 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 Cursor 中以 Agent 模式打开 AI 聊天

  5. 试一试

    用 QuantGPT 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 QuantGPT,或回答中出现 QuantGPT 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 5 分钟

需要 QuantGPT 的密钥(在开发者网站注册,可能收费)

  1. 注册并创建 QuantGPT 的密钥

    打开开发者网站,注册账户并创建 API 密钥,下一步要用。可能收费。

    打开 QuantGPT 网站 ↗

  2. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  3. 填写你的密钥

    在 QuantGPT 的设置中,X-API-Key 还是空的,填入你的密钥并保存

    只把密钥粘贴到应用的输入框里,不要粘贴到聊天中或发给任何人

  4. 在 VS Code 中以 Agent 模式打开 AI 聊天

  5. 试一试

    用 QuantGPT 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 QuantGPT,或回答中出现 QuantGPT 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://terminal.quantgpt.co/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 QuantGPT 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http quantgpt https://terminal.quantgpt.co/mcp --header 'X-API-Key: your-value'

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "quantgpt": {
      "url": "https://terminal.quantgpt.co/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "quantgpt": {
      "type": "http",
      "url": "https://terminal.quantgpt.co/mcp",
      "headers": {
        "X-API-Key": "your-value"
      }
    }
  }
}

需要你填写的值

  • X-API-Key 机密 HTTP header
    Optional. A QuantGPT key (qg_sk_...) from your account page at terminal.quantgpt.co/account. Leave it empty to sign in with OAuth instead.

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

一览

每周下载量i
不在 npm/PyPI 上
已验证域名
✓ quantgpt.co
连接方式
在云端运行
传输方式
streamable-http
最新版本i
1.0.1
发布到注册中心i
2026年10月14日
代码最后更新i
2026年10月18日
作者
quantgptco
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

服务器要求先登录,才会列出它的工具。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月11日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 quantgpt.co 验证(注册中心会核实域名所有权)

  • ✓ 通过

    仍在维护

    代码最后更新于24天前

  • ✓ 通过

    有许可证

    使用 MIT

  • ✓ 通过

    端点有响应

    在 339 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 尚未检查

    工具描述中没有隐藏指令

    尚未检查;我们会在检查端点时读取工具列表

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

使用 Google 登录后发帖

用户评价

还没有评价

用 Google 登录后写评价

与“会计、财务与税务”中的其他服务器比较i

  • 星标数多于此分类中其他 3113 个服务器的 92%
  • 发布到注册中心的时间比此分类中其他 3113 个服务器的 52% 更新
  • 基础检查结果等于或优于此分类中其他 3113 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

QuantGPT 安全吗?

它在 5 项适用的基础检查中通过了 5 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:X-API-Key

它在我的电脑上运行还是在云端?

它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。

它还在维护吗?

GitHub 仓库最后更新于24天前,最新版本(1.0.1)于28天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。它通过 URL 连接,因此也能用于支持远程 MCP 的应用,例如 ChatGPT Business 及以上方案。

有什么可以替代它?

同一分类中有:CCXT, Finance Toolkit, AKQuant

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

CCXT

Official CCXT MCP server - Market data and trading across 100+ exchanges and prediction markets

作者:ccxt广泛使用↓ 667/周★ 4.5万2个月前更新

在你的电脑上运行

Finance Toolkit

500+ transparent financial methods calculated from raw statements, not third-party endpoints.

作者:JerBouma广泛使用↓ 1.6万/周★ 5514昨天更新

电脑或云端

AKQuant

Write and backtest trading strategies with AKQuant: API lookup, strategy checks, backtest runs

作者:akfamily广泛使用↓ 3280/周★ 2582前天更新

在你的电脑上运行

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

QuantGPT (quantgpt.co)

QuantGPT (quantgpt.co) is the data and trading platform for AI. This is the official repository of QuantGPT LLC.

Not affiliated with other GitHub projects named QuantGPT. The product, its hosted MCP server and this repository are QuantGPT by QuantGPT LLC, at https://quantgpt.co.

The data and trading platform for AI: decades of US market data, backtests in seconds.

Claude and ChatGPT connect over MCP to decades of US market data, and backtests run in seconds on QuantGPT Cloud. On QuantGPT Pro, your own strategy runs there too and trades in your own brokerage account. Start with a 3-day free trial of QuantGPT or QuantGPT Pro, cancel any time.

Serverhttps://terminal.quantgpt.co/mcp
TransportStreamable HTTP, JSON-RPC 2.0 over POST, stateless
Sign-inOAuth 2.1 (dynamic client registration, PKCE S256), or a key in a header
Works withClaude, ChatGPT, Gemini, Cursor, Claude Code and any MCP client
PlansQuantGPT $49 a month, QuantGPT Pro $149 a month, each with a 3-day free trial
Websitehttps://quantgpt.co
Registry nameco.quantgpt/mcp
Made byQuantGPT LLC, Tampa, Florida
Official accountshttps://x.com/quantgptco, https://www.reddit.com/r/QuantGPT, https://github.com/quantgptco

Updated October 2026. This repository holds no server code. It is the public listing for the hosted server: how to connect each client, what every tool does, example prompts, plans and limits.

What your AI can do with it

  • Backtest any idea in seconds. Describe a strategy in plain words; your AI turns it into criteria (up to 8 filters, a rank, a holding count) and runs it walk-forward against a benchmark on decades of US market data, with a cost model and a decade-by-decade table. Up to 100 variants run in one call.
  • Grade any US stock. A+ to F on six dimensions against the whole market, point in time, with the drivers, the peers and a chart pack. Up to 25 tickers in one call, or the leaderboard for a sector.
  • Query the data itself. Prices, total returns, fundamentals joined by filing date, 74 backtest factors, FRED macro, insider filings and short interest, through ready-made calls or read-only SQL over the whole warehouse.
  • Start from the literature. 175 documented strategies from papers, books and practitioners, 53 of them runnable in one call.
  • Work on a portfolio. A frontier over your tickers, a review of your holdings, the trade list from your criteria to the book they imply today, paper books marked nightly, and alerts when a name enters or leaves a screen.
  • Go past US stocks. Macro regimes, commodity spot series, weather studies, crypto with funding rates, memecoins and the 24/7 stock tape. Prediction markets are coming soon.
  • Chart and cite. Branded charts with the numbers that drew them, and search and fetch so ChatGPT deep research can cite the library, the studies and the forum.
  • Run your own strategy on QuantGPT Pro. QuantGPT Cloud hosts your strategy as your own code, on your schedule, and it trades in your own brokerage account under your keys. You set it up in the terminal; no MCP tool places an order.

Contents

  1. Connect your AI
  2. What your AI can call
  3. Strategies you can ask about
  4. Plans and limits
  5. What the data is, and is not
  6. Disclaimer

Connect your AI

Claude, ChatGPT and the Gemini app sign in to QuantGPT through OAuth: no key to paste. The connection lands on your account page as a key labelled with the client's name, and you can revoke it there. Claude Code, Gemini CLI, Cursor and any other client below use a key.

Get a key
  1. Sign in at https://terminal.quantgpt.co (new here? start a 3-day free trial).
  2. Open your account page. Under Keys for your AI, type a label and press Issue key.
  3. Copy the qg_sk_... value now. Only its hash is stored, so it is shown once.
Claude (claude.ai and Claude Desktop)
  1. Customize > Connectors, then + > Add custom connector (on Team or Enterprise an Owner may need to add it first).
  2. Name it QuantGPT, paste https://terminal.quantgpt.co/mcp, leave the OAuth client fields empty, and click Add.
  3. Press Connect. Claude opens QuantGPT's sign-in page: sign in and approve. The connection shows on your account page as connector: Claude.

Guide on quantgpt.co: https://quantgpt.co/learn/connect-claude.html

Claude Code
claude mcp add --transport http quantgpt https://terminal.quantgpt.co/mcp --header "Authorization: Bearer qg_sk_YOUR_KEY"

Add --scope user to have it in every project. Then ask Claude Code to call describe_capabilities.

ChatGPT
  1. In ChatGPT, Settings > Security and login > turn on Developer mode. OpenAI offers it on Plus, Pro, Business, Enterprise and Education accounts, on the web.
  2. Go to chatgpt.com/plugins and select the plus button. Name the app QuantGPT and, under Connection, enter https://terminal.quantgpt.co/mcp.
  3. ChatGPT registers itself and sends you to QuantGPT's sign-in, now or on its first call. Sign in and press CONNECT; there is no key to paste. The connection shows on your account page as connector: plus the name ChatGPT registered. In a chat, choose Developer mode from the + menu and select QuantGPT.

On a Business, Enterprise or Education workspace, developer mode can depend on the workspace's policy, so an admin may have to allow it first. ChatGPT deep research works through a connector's search and fetch tools; QuantGPT ships both, so deep research can search the library, the studies and the forum and cite what it used.

Guide on quantgpt.co: https://quantgpt.co/learn/connect-chatgpt

Gemini

Gemini CLI, with a key:

gemini mcp add -s user --transport http --header "Authorization: Bearer qg_sk_YOUR_KEY" quantgpt https://terminal.quantgpt.co/mcp

-s user saves it in ~/.gemini/settings.json in your home folder. Without it, Gemini CLI saves to the current project's .gemini/settings.json, where a key can end up in a git repository.

Or add it to ~/.gemini/settings.json (every project) or .gemini/settings.json (one project):

{

"mcpServers": { "quantgpt": { "httpUrl": "https://terminal.quantgpt.co/mcp", "headers": { "Authorization": "Bearer qg_sk_YOUR_KEY" } } } }

Run /mcp inside Gemini CLI to see the server and its tools.

The Gemini app: at gemini.google.com open Settings > Connected Apps, and under Custom apps choose Add a custom app. Paste https://terminal.quantgpt.co/mcp, then sign in to QuantGPT. Google decides who can add custom apps (in September 2026: 18 or over, in the US, signed in with a personal Google Account, Keep Activity on, set up in the web app): https://support.google.com/gemini/answer/17209137

Guide on quantgpt.co: https://quantgpt.co/learn/connect-gemini

Cursor

In .cursor/mcp.json (one project) or ~/.cursor/mcp.json (every project):

{

"mcpServers": { "quantgpt": { "url": "https://terminal.quantgpt.co/mcp", "headers": { "Authorization": "Bearer ${env:QUANTGPT_KEY}" } } } }

Set QUANTGPT_KEY to your qg_sk_... key in the environment Cursor starts from, so the key never sits in the file.

Guide on quantgpt.co: https://quantgpt.co/learn/connect-cursor

Any other MCP client
URL:   https://terminal.quantgpt.co/mcp

Auth: Authorization: Bearer qg_sk_YOUR_KEY (X-API-Key: qg_sk_YOUR_KEY is also accepted) Type: Streamable HTTP, JSON-RPC 2.0, stateless

A request without a valid key gets 401 and a WWW-Authenticate header that points OAuth clients to https://terminal.quantgpt.co/.well-known/oauth-protected-resource.

No connector option on your plan? The setup prompt at https://terminal.quantgpt.co/pastepack.txt gives any chat AI the same context in one block you paste, without MCP. Signed-in members find the Claude and ChatGPT steps, this address and the prompt library at https://terminal.quantgpt.co/connect.

Your first call

Ask your AI to call describe_capabilities: it returns the whole map (every factor, operator, benchmark, library category and methodology rule). On connect the server lists 14 core tools (15 once pre_trade_brief opens) and 5 discovery tools; the other 57 sit in seven categories. If your AI asks where the market stands, market_snapshot answers in one call. Your AI calls available_categories, then activate_category, to list a category for your key, or runs any tool by name through call_tool. With a key-based client you can add ?tools=all to the URL to list every tool at once.

What your AI can call

77 tools, 69 of them switched on today; the 8 marked (coming soon) answer with a coming-soon note until they open. None of them places, modifies or cancels an order at any broker. A few write to your own QuantGPT account: saved studies, paper books, sealed books, alerts, event rules and the panels on your terminal.

Listed on connect (15)
ToolWhat it does
searchSearches QuantGPT's own record (library strategies, studies, forum threads, your saved studies, the glossary) and returns citable results with ids and URLs.
fetchFetches one of those records in full by the id search returned.
describe_capabilitiesThe full machine-readable map: factors, operators, benchmarks, timing rules, library categories, methodology. Call it first.
guideThe onboarding curriculum (THE RAMP), taught one step at a time.
market_snapshotThe state of the market in one read-only call: the major indexes against their 50 and 200-day averages, S&P 500 breadth, sectors, Treasury yields and credit spreads, VIX, Fed liquidity and crypto, each value with its source and as-of date. Never a forecast.
get_prompt_library34 ready prompts, each mapped to the tools that answer it.
search_librarySearches the 175 documented strategies by keyword; each result says whether it is runnable.
grade_stockGrades one ticker A+ to F on six dimensions against the whole universe, point in time, with a chart pack.
run_backtestBacktests any criteria (up to 8 filters, a rank, top N equal weight; monthly, weekly or daily formation) walk-forward against a benchmark, with a cost model and a decade table.
run_sweepUp to 100 criteria variants in one call, returned as a ranked comparison table.
challenge_findingThe skeptic pass: eleven checks that try to break a finding, strongest objection first.
fetch_jobCollects a long-running job (a backtest, regression or skeptic pass) by its job id.
pre_trade_brief(coming soon, not listed until it opens) A ticker's grade, whether it passes your criteria today, the criteria's finding with the skeptic pass, and what your past findings did next. Findings, not orders.
query_warehouseRead-only SQL (DuckDB) over every research database: SELECT, WITH, DESCRIBE and SHOW only, 5,000-row cap, 45-second timeout.
list_warehouseThe map of every database and table query_warehouse can read.
Discovery (5)
ToolWhat it does
available_categoriesThe categories this key can switch on, with counts and what is active now.
available_toolsNames, descriptions and input schemas of the tools in a category.
activate_categoryAdds categories to this key's tool list, remembered across sessions.
deactivate_categoryRemoves categories from this key's tool list.
call_toolRuns any tool by name, listed or not.
Equities: category equities (21)
ToolWhat it does
run_screenToday's tickers matching your criteria, in the same vocabulary as run_backtest: the output of your criteria, never a recommendation.

| top_graded | The letter-grade leader

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